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Mahdi Dhaini

Last modified May 13

Chair for Software Engineering of Business Information Systems (Sebis)

Department of Computer Science

School of CIT   

Technical University of Munich
Boltzmannstraße 3
85748 Garching, Germany

E-Mail: mahdi.dhaini@tum.de
Phone: +49 89 289 17138
Room: 01.12.040

Office hours: by appointment

   

 

Open Student Research Assistant Position (HiWi): 

I am looking for a student research assistant (HiWi) to support with the project and research work. Please check the details here. 

 

 

Thesis Supervision

If you would like to propose a topic related to my research interests or get in touch to find a suitable one, please reach out to me via e-mail with your CV and transcript of records attached.

Open Thesis Topics:

 Please check our list of available thesis topics on the following page: Open Topics

 

Research Interests

  • Explainable AI in NLP
  • Natural Language Processing 
  • Swarm Intelligence

 

Curriculum Vitae

Mahdi Dhaini joined the chair of Software Engineering for Business Information Systems at the Technical University of Munich in December 2021. He holds a master's degree in Computer Science from the Lebanese American University (LAU)

 

 

Publications

Google Scholar

 

 

Teaching 

Term  Level Title Type Role
SS 25 Master Software Engineering for Business Applications (SEBA Master) Lecture Advisor
SS 25 Master Natural Language Processing - Methods and Applications Seminar Advisor
WS 24/25 Master SEBA Lab Course Lab Course Advisor
SS 24 Master Software Engineering for Business Applications (SEBA Master) Lecture Advisor
SS 24 Master Natural Language Processing - Methods and Applications Seminar Advisor
WS 23/24 Bachelor Software Engineering for Business Applications - Bachelor's Course (SEBA Bachelor) Lecture  
WS 23/24 Master SEBA Lab Course Lab Course Advisor
SS 23 Master Natural Language Processing - Methods and Applications Seminar Advisor
SS 23 Master Software Engineering for Business Applications (SEBA Master) Lecture Advisor
WS 22/23 Master Advanced Topics of Software Engineering Lecture Organizer
SS 22 Master Software Engineering for Business Applications (SEBA Master)  Lab Course Advisor
SS 22 Master Blockchain-based Systems Engineering Lecture  

 

 

 

 

 

Research Projects

GAIA-X 4 Production, After-Sales and PLC - Across Automated Driving

The Gaia-X project aims to build a federated data infrastructure for Europe. As part of the GAIA-X 4 Future Mobility project family, this project focuses on the secure implementation of digital twins for the automotive sector in the context of automated driving through an open distributed data ecosystem (ODDE). Spanning the entire product lifecycle, these twins are envisioned to improve product verification, validation, and update strategies. More here.

 

Explainability Tool for NLP-based AI Systems (XplainNLP)